Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/12660#discussion_r60925487
--- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
---
@@ -153,12 +153,42 @@ private[recommendation] trait ALSParams extends
ALSModelParams with HasMaxIter w
/** @group getParam */
def getNonnegative: Boolean = $(nonnegative)
+ /**
+ * Param for StorageLevel for intermediate RDDs. Pass in a string
representation of
+ * [[StorageLevel]]. Cannot be "NONE".
+ * Default: "MEMORY_AND_DISK".
+ *
+ * @group expertParam
+ */
+ val intermediateRDDStorageLevel = new Param[String](this,
"intermediateRDDStorageLevel",
+ "StorageLevel for intermediate RDDs. Cannot be 'NONE'. Default:
'MEMORY_AND_DISK'.",
+ (s: String) => Try(StorageLevel.fromString(s)).isSuccess && s !=
"NONE")
--- End diff --
@yanboliang that `train` method is still public `DeveloperApi` and so can
be used outside of both the ML and MLlib ALS APIs. So I think that should stay.
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